Semantic-aware deidentification generative adversarial networks for identity anonymization
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2023
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oai:localhost:PNK-73992023-03-31T08:44:19Z Semantic-aware deidentification generative adversarial networks for identity anonymization Hyeongbok, Kim Zhiqi, Pang Lingling, Zhao SDGAN increasing attention CC BY Privacy protection in the computer vision field has attracted increasing attention. Generative adversarial network-based methods have been explored for identity anonymization, but they do not take into consideration semantic information of images, which may result in unrealistic or flawed facial results. In this paper, we propose a Semantic-aware De-identification Generative Adversarial Network (SDGAN) model for identity anonymization. To retain the facial expression effectively, we extract the facial semantic image using the edge-aware graph representation network to constraint the position, shape and relationship of generated facial key features. 2023-03-31T08:44:18Z 2023-03-31T08:44:18Z 2023 Book https://link.springer.com/article/10.1007/s11042-022-13917-6 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7399 en application/pdf Springer |
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Digital Phenikaa |
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Digital Phenikaa |
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English |
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SDGAN increasing attention |
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SDGAN increasing attention Hyeongbok, Kim Zhiqi, Pang Lingling, Zhao Semantic-aware deidentification generative adversarial networks for identity anonymization |
description |
CC BY |
format |
Book |
author |
Hyeongbok, Kim Zhiqi, Pang Lingling, Zhao |
author_facet |
Hyeongbok, Kim Zhiqi, Pang Lingling, Zhao |
author_sort |
Hyeongbok, Kim |
title |
Semantic-aware deidentification generative adversarial networks for identity anonymization |
title_short |
Semantic-aware deidentification generative adversarial networks for identity anonymization |
title_full |
Semantic-aware deidentification generative adversarial networks for identity anonymization |
title_fullStr |
Semantic-aware deidentification generative adversarial networks for identity anonymization |
title_full_unstemmed |
Semantic-aware deidentification generative adversarial networks for identity anonymization |
title_sort |
semantic-aware deidentification generative adversarial networks for identity anonymization |
publisher |
Springer |
publishDate |
2023 |
url |
https://link.springer.com/article/10.1007/s11042-022-13917-6 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7399 |
_version_ |
1761912527710584832 |
score |
8.891145 |